Intelligent Data Mining In Law Enforcement Analytics
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Intelligent Data Mining in Law Enforcement Analytics
Author: Paolo Massimo Buscema
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-11-28
This book provides a thorough summary of the means currently available to the investigators of Artificial Intelligence for making criminal behavior (both individual and collective) foreseeable, and for assisting their investigative capacities. The volume provides chapters on the introduction of artificial intelligence and machine learning suitable for an upper level undergraduate with exposure to mathematics and some programming skill or a graduate course. It also brings the latest research in Artificial Intelligence to life with its chapters on fascinating applications in the area of law enforcement, though much is also being accomplished in the fields of medicine and bioengineering. Individuals with a background in Artificial Intelligence will find the opening chapters to be an excellent refresher but the greatest excitement will likely be the law enforcement examples, for little has been done in that area. The editors have chosen to shine a bright light on law enforcement analytics utilizing artificial neural network technology to encourage other researchers to become involved in this very important and timely field of study.
Intelligent Data Mining
Author: Da Ruan
language: en
Publisher: Springer Science & Business Media
Release Date: 2005-08-24
"Intelligent Data Mining – Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.
URBAN COASTAL AREA CONFLICTS ANALYSIS METHODOLOGY
Author: Armando Montanari
language: en
Publisher: Sapienza Università Editrice
Release Date: 2013-12-18
This volume is the completed section of the process of analytical research and methodological comparisons undertaken by SECOA, a 48-month research project selected and funded by the EU under the FP7 program. Hence, while scientifically autonomous, the volume is a natural link between the different phases of analysis within SECOA, i.e. Work Packages (WPs) 1-5, and the interpretive and predictive values that are being drawn up by WPs 7 and 8. Within the overall scope of SECOA's research activity, this volume's task was to supply answers to questions that will undergo further study by research groups. These groups will subsequently have to create methods and tools to identify the most suitable policies to effectively manage environmental conflicts, use fragile and rare resources more efficiently, and develop administrative structures capable of dealing with the needs of a continuously evolving society (the wisdom stage). It was also deemed necessary to construct possible alternative scenarios in order to contribute to an enhanced vision of sustainable urban development in coastal areas (the understanding stage). The findings of the research discussed in this volume are to be used to understand the relationships between the variables collected in the previous phases (WPs 1, 2, 3 and 4) of SECOA.